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    TSMC
    2002
    119views more  TSMC 2002»
    Approximation of n-dimensional data using spherical and ellipsoidal primitives
    13 years 8 months ago
    Approximation of n-dimensional data using spherical and ellipsoidal primitives
    Download  staff.polito.it
    This paper discusses the problem of approximating data points in -dimensional Euclidean space using spherical and ellipsoidal surfaces. A closed form solution is provided for spher...
    Giuseppe Carlo Calafiore
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    PRL
    2010
    188views more  PRL 2010»
    Sparsity preserving discriminant analysis for single training image face recognition
    13 years 7 months ago
    Sparsity preserving discriminant analysis for single training image face recognition
    Download  parnec.nuaa.edu.cn
    : Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
    Lishan Qiao, Songcan Chen, Xiaoyang Tan
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    ICML
    1995
    IEEE
    123views Machine Learning» more  ICML 1995»
    Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
    14 years 9 months ago
    Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
    Download  www.cs.utexas.edu
    Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
    Justine Blackmore, Risto Miikkulainen
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    AMFG
    2005
    IEEE
    183views Biometrics» more  AMFG 2005»
    Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling
    14 years 2 months ago
    Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling
    Download  cvlab.epfl.ch
    This paper presents a new method for face modeling and face recognition from a pair of calibrated stereo cameras. In a first step, the algorithm builds a stereo reconstruction of...
    Rik Fransens, Christoph Strecha, Luc J. Van Gool
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    JMLR
    2010
    186views more  JMLR 2010»
    Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
    13 years 3 months ago
    Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
    Download  jmlr.csail.mit.edu
    We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
    Philippos Mordohai, Gérard G. Medioni
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